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This study aims to investigate the differences in sleep stages and total sleep duration between individuals diagnosed with sleep bruxism and healthy controls. This will be achieved through the use of smartwatches, which offer advantages such as rapid data acquisition, easy accessibility, long-term monitoring capabilities, and the potential to engage a large number of participants.
It is anticipated that the findings of this study will serve as a pioneering effort in utilizing smartwatch applications for the continuous monitoring of sleep bruxism patients. Furthermore, it is expected to provide an alternative methodology for evaluating the impact of bruxism treatments on sleep quality, thereby contributing significantly to the existing literature. As smartwatches become more prevalent in health tracking, it is also envisioned that application developers will increasingly prioritize this area in their software development and updates
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sleep Bruxism Group | This group will include participants diagnosed with sleep bruxism. Sleep stage data and total sleep duration will be collected using smartwatches. |
| |
| Healthy Control Group | This group will include healthy individuals with no diagnosis of sleep bruxism. Sleep stage data and total sleep duration will be collected using smartwatches. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smartwatch-based Sleep Monitoring | Other | Participants will wear a smartwatch to collect sleep stage data and total sleep duration over a specified period. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Total Sleep Duration | Total time spent sleeping during the night as measured by a smartwatch (minutes). Results reported as the average total sleep duration over 7 consecutive nights. | Days 1-7 (average of 7 consecutive nights) |
| Measure | Description | Time Frame |
|---|---|---|
| Sleep Stages Distribution | Percentage distribution of sleep stages (NREM1, NREM2, NREM3/Deep, REM) as measured by a smartwatch. Results reported as the average percentage for each stage over 7 consecutive nights. | Days 1-7 (average of 7 consecutive nights) |
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Inclusion Criteria:
• Age 18-50 years.
Exclusion Criteria:
• High risk of Obstructive Sleep Apnea (OSA): Candidates with a STOP-Bang questionnaire score ≥3 or Body Mass Index (BMI) >30 kg/m² were excluded. This was a critical step to ensure that any observed sleep fragmentation was not attributed to respiratory events [21].
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The study population will consist of two distinct groups: individuals diagnosed with sleep bruxism and healthy controls, both aged between 18 and 50 years. Participants with sleep bruxism will be recruited from the Oral and Maxillofacial Clinic of Cappadocia University, who have received a definitive diagnosis of sleep bruxism. Healthy control participants, without a history of sleep bruxism or any other sleep disorder, will be recruited from the general community via [e.g., local advertisements, university staff/students, hospital staff]. Both groups will be selected based on specific inclusion and exclusion criteria to ensure homogeneity within groups and to facilitate a clear comparison of sleep stages and total sleep duration using smartwatch data.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cappadocia University Faculty of Dentistry | Nevşehir | Nevşehir Province | 50040 | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 11706956 | Result | Kato T, Rompre P, Montplaisir JY, Sessle BJ, Lavigne GJ. Sleep bruxism: an oromotor activity secondary to micro-arousal. J Dent Res. 2001 Oct;80(10):1940-4. doi: 10.1177/00220345010800101501. | |
| 42420961 | Derived | Akbulut K, Akbulut FG. Smartwatch-derived sleep estimates in individuals with probable sleep bruxism: an exploratory pilot study. BMC Oral Health. 2026 Jul 8. doi: 10.1186/s12903-026-09218-1. Online ahead of print. |
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| ID | Term |
|---|---|
| D020186 | Sleep Bruxism |
| D002012 | Bruxism |
| ID | Term |
|---|---|
| D014076 | Tooth Diseases |
| D009057 | Stomatognathic Diseases |
| D020447 | Parasomnias |
| D012893 | Sleep Wake Disorders |
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| D009422 |
| Nervous System Diseases |
| D001523 | Mental Disorders |
| D006184 | Habits |
| D001519 | Behavior |